Incident Self-healing

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What is Self-Healing IT?

Self-healing IT is a futuristic buzz-word that you have likely heard a few times this year. The general idea of self-healing IT is that a combination of self-service technology, artificial intelligence, machine learning, remote monitoring, and human agents can identify and resolve problems before the end-user is even aware that something was wrong in the first place. Self-healing IT also means that the issue or future issue is identified by a monitoring system potentially coupled with AI. The result of the qualification will trigger an automated script executed by the system that will fix the problem on its own.

Self-heal is intrinsically tied to self-help or self-service IT because it works in the background to alert users and agents of the problem, prompting users to find common resolutions before escalating to the agents. This will ultimately enable IT departments to diagnose and resolve incidents and problems using automation, self-service, and an integrated ITSM tool.

Benefits of Self-Healing IT

Self-healing IT sounds too good to be true, but the benefits are very real. Benefits of self-heal include:

When you get down to it, self-healing IT takes the pressure off overworked service desk agents and frees them up to focus on more big-picture processes and resolutions.

Elements of Self-Healing IT

Self-healing IT is comprised of several technological elements that fit together like puzzle pieces, including:

AITSM

AITSM is ITSM driven by intelligent automation to assist with tasks, requests, and actions in the IT service desk. (And no, the AI in AITSM doesn’t stand for Artificial Intelligence). You might be thinking that AITSM encompasses the rest of the elements on this list, and you’d be right. It’s all about the way you use these elements to detect and resolve issues in a proactive way, rather than their individual traditional uses.

Machine Learning (ML)

Machine Learning works by feeding large amounts of data into a computer/software so that it can detect patterns and learn from behaviors, effectively creating predictions based on those patterns and learned behaviors. This is important in proactive service management and self-healing IT because it creates the ability to predict those patterns without a human analyzing the data. In short: ML analyzes and predicts problems while AI suggests a solution.

IT Infrastructure Monitoring

Sometimes called enterprise architecture, infrastructure monitoring gives your IT team the ability to look at a comprehensive and exhaustive end-to-end view of all IT services from infrastructure to endpoints while providing the ability to fix issues proactively before they have a chance to impact the business.

Remote Access

To serve the customer without disrupting their workflow or day, remote access is a must. This allows you to take the analysis and suggestions made in the ML and AI phases and implement them on the back end.

Process Automation

Process automation is a way to take all of these puzzle pieces off of the plates of the overworked service desk team and still give users resolution in a proactive way. Process automation can take the form of automated workflows, automated tasks, and automated ticketing, but that’s just the beginning.

Best Practices for Self-Healing IT

Like I said before, all of the elements we just mentioned work together like a puzzle, but that puzzle won’t work without a solid strategy and a few best practices.

The strategy of self-healing IT is arguably the most important part because it will lay the groundwork for which processes will be automated, who will handle the overall monitoring of these processes and infrastructures, and how to keep the machine of self-healing running smoothly with minimal human intervention or effort.

Once you’ve created your strategy, the following best practices can help you find self-healing success:

Make small changes over time: It’s easy to get excited about something as advanced as self-healing IT, but, as Bill Gates once pointed out, automation applied to inefficiency will only further magnify that inefficiency. Instead, start by looking at your current processes, cleaning up the data, and little by little working toward your overall self-healing strategy goals.
Train staff on the shift to self-healing: Self-healing technology and process automation will still need the human touch to monitor. As much as we love technology we can set and forget, it’s crucial to train your team on what to look for in remote monitoring and IT infrastructure monitoring, and to fully understand what red flags will look like (especially as technology and processes change). The staff will provide the element of human intervention which is just as important as the technology.
Don’t try to replace humans with AI: AI should, at its core, augment and enhance the human experience. It should NOT be a replacement for humans. If you attempt to fully replace your people with technology, you’ll run the risk of creating an even more stressed-out service desk.
Get the entire IT organization on board: This best practice works with the previous because it’s important to make sure everyone is on board and nobody feels that they’re being replaced. Fully explain the technology and strategy to the team to make sure it’s clear what the goals are and you’ll have better success during implementation.

What’s Next for Self-Healing IT

At this stage, self-healing IT is growing and changing every day. Although in many areas it’s more of an abstract goal or concept, self-heal is the way of the future. To learn more about how you can pivot your current service management and self-service strategy to include self-healing IT, get a demo from one of our experts today.